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arXiv · 2608.15342

Towards a physics-informed multiscale digital twin for precision medicine in Alzheimer's disease

Aida Nonn·Elma Kerz·Daniel Wiechmann·Paul Edison
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Abstract

Deciphering the drivers of brain ageing and neurodegeneration, and explaining heterogeneity in individual trajectories, remains a central challenge for precision medicine. We propose PIM-BrainTwin, a physics-informed multiscale digital twin for Alzheimer's disease that draws on materials-science principles--fatigue-like depletion, safety margins and critical transitions--to quantify residual compensatory capacity and system stability. Designed as an open, modular and federated platform, it enables alternative mechanistic hypotheses to be formalised, compared and refined.

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Aida Nonn, Elma Kerz, Daniel Wiechmann, Paul Edison. 2026-08-15. Towards a physics-informed multiscale digital twin for precision medicine in Alzheimer's disease. https://arxiv.org/abs/2608.15342

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